References

Abadi, A.M., 2014. Fuzzy model translation for time series data in the extent of median error and its application. Appl. Math. Sci., 8: 2113-2124.
Direct Link  |  

Abdullah, L. and T.L. Fan, 2011. Fourth-order fuzzy time series based on multi-period adaptation models for Kuala Lumpur composite index forecasting. J. Emerging Trends Comput. Inform. Sci., 2: 16-20.
Direct Link  |  

Abdullah, L. and Y. Ling, 2011. Comparison of two partitioning methods in a fuzzy time series model for composite index forecasting. Intl. J. Comput. Sci. Eng., 3: 1749-1756.
Direct Link  |  

Adzic, S. and O. Sedlak, 1998. Economic modelling and theory of fuzzy sets application in Macroeconomic planning within the process of transition. Yugoslav J. Oper. Res., 8: 331-342.
Direct Link  |  

Bodyanskiy, Y., I. Pliss and O. Vynokurova, 2008. Adaptive wavelet-neuro-fuzzy network in the forecasting and emulation tasks. Intl. J. Inf. Theor. Appl., 15: 47-55.
Direct Link  |  

Borde1, S., A.F. Dabre, H.M. Kamdar and R.Y. Purohit, 2016. Financial stock price forecast using classification. Intl. J. Adv. Res. Comput. Commun. Eng., 5: 46-49.
Direct Link  |  

Bruce, A. and H.Y. Gao, 1996. Applied Wavelet Analysis with S-Plus. Springer, New York, USA., ISBN:0387947140, Pages: 338.

Chui, C.K., 1992. An Introduction to Wavelets. 5th Edn., Academic Press, Boston, MA., USA., ISBN-13: 9780121745844, Pages: 266.

Heo, J. and J.Y. Yang, 2016. Stock price prediction based on financial statements using SVM. Intl. J. Hybrid Inf. Technol., 9: 57-66.
Direct Link  |  

Homayouni, N. and A. Amiri, 2011. Stock price prediction using a fusion model of wavelet, fuzzy logic and ANN. Proceedings of the International Conference on E-Business, Management and Economics, December 28-30, 2011, IACSIT Press, Singapore, pp: 277-281.

Karatepe, E. and M. Alcı, 2005. A new approach to fuzzy wavelet system modeling. Intl. J. Approximate Reasoning, 40: 302-322.
Direct Link  |  

Khadka, M.S., K.M. George, N. Park and J.B. Kim, 2012. Performance analysis of hybrid forecasting model in stock market forecasting. Intl. J. Managing Inf. Technol., 4: 81-88.
Direct Link  |  

Liu, H. and J. Wang, 2011. Integrating independent component analysis and principal component analysis with neural network to predict Chinese stock market. Math. Prob. Eng., 2011: 1-15.
Direct Link  |  

Magno, R.A., N.L. Biondi, G.C.P. Henrique, C.B. Carlos and D.M.J. Soares et al., 2005. Using fuzzy logic for pricing. Proceedings of the 7th International Conference on Enterprise Information Systems, May 24-28, 2005, ICEIS, Miami, USA., pp: 331-334.

Marcek, D., 2003. Determination of fuzzy relations for economic fuzzy time series models by neural networks. Comput. Inf., 22: 457-472.

Miswan, N.H., K. Hamzah, N.A. Ngatiman and Z.Z. Zamzamir, 2014. Comparative performance of ARIMA and GARCH models in modelling and forecasting volatility of Malaysia market properties and shares. Appl. Math. Sci., 8: 7001-7012.
Direct Link  |  

Mohapatra, P., M. Anirudh and T.K. Patra, 2013. Forex forecasting: A comparative study of llwnn and neurofuzzy hybrid model. Intl. J. Comput. Appl., 66: 46-53.
Direct Link  |  

Nurhayadi, S., Abdurakhman and A.M. Abadi, 2014. Fuzzy model optimization for time series data using a translation in the extent of mean error. J. Math. Stat., 10: 267-274.
Direct Link  |  

Olayemi, P.A. 2007. Fuzzy-wavelet method for time series analysis. Ph.D. Thesis, Department of Computing School of Electronics and Physical Sciences, University of Surrey Guildford, UK.

Ortega, L.F., 2012. A neuro-wavelet method for the forecasting of financial time series. Proceeding of the World Congress on Engineering and Computer Science, October 24-26, 2012, WCECS, San Fransisco, USA., ISBN:978-988-19251-6-9, pp: 1-6.

Paksoy, S. and S.B. Kilic, 2015. Forecasting the direction of BIST 100 returns with artificial neural network models. Intl. J. Latest Trends Finance Econ. Sci., 4: 759-765.
Direct Link  |  

Rachmawati, R.N., A. Gamalita and I. Sungkawa, 2015. Jakarta composite index prediction using fuzzy time series markov chain. Intl. J. Appl. Math. Stat., 53: 119-131.
Direct Link  |  

Rusu, V. and C. Rusu, 2015. Forecasting methods and stock market analysis. Creative Math., 12: 103-110.

Sakarya, S., M. Yavuz, A.D. Karaoglan and N. Ozdemir, 2015. Stock market index prediction with neural network during financial crises: A review on Bist-100. Financial Risk Manage. Rev., 1: 53-67.
Direct Link  |  

Sheen, J.N., 2009. Applying fuzzy engineering economics to evaluate project investment feasibility of wind generation. WSEAS. Trans. Syst., 8: 501-510.
Direct Link  |  

Sopipan, N., W. Kanjanavajee and P. Sattayatham, 2012. Forecasting SET50 index with multiple regression based on principal component analysis. J. Appl. Finance Banking, 2: 271-294.
Direct Link  |  

Stojakovic, M., 2005. Fuzzy random variable in Mathematical Economics. Novi Sad J. Math, 35: 103-112.
Direct Link  |  

Thuillard, M., 2002. A Review of Wavelet Networks, Wavenets, Fuzzy Wavenets and their Applications. In: Advances in Computational Intelligence and Learning, Zimmermann, H.J., G. Tselentis, M.V. Someren and D. Georgios (Eds.). Springer, Berlin, Germany, ISBN:978-94-010-3872-0, pp: 43-60.

Toufik, B. and N. Mokhtar, 2012. The Wavelet Transform for Image Processing Applications. In: Advances in Wavelet Theory and Their Applications in Engineering, Physics and Technology, Baleanu, D. (Ed.). Chapter 17, InTech, USA., pp: 395-422.

Wang, B., W.N. Hao, G. Chen, D.C. He and B. Feng, 2013. A Wavelet Neural Network Forecasting Model Based on ARIMA. In: Applied Mechanics and Materials, Ma, J.Z. (Ed.). Trans Tech Publications, Bangkok, Thailand, pp: 3013-3018.

Wang, C., 2015. Time series neural network systems in stock index forecasting. Comput. Modell. N. Technol., 19: 57-61.
Direct Link  |  

Widiartha, I.B.K. and I.G.P.S. Wijaya, 2006. Image search method using wavelet transform and histogram metrika ascending. J. Electr. Eng., 6: 16-53.

Xu, Q., 2010. A new algorithm to forecast Shanghai composite index. J. Inf. Comput. Sci., 7: 2463-2467.
Direct Link  |  

Yu, P., A. Goldenberg and Z. Bi, 2001. Time series forecasting using wavelets with predictor-corrector boundary treatment. Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 26-29, 2001, ACM, San Francisco, USA., pp: 1-12.

Zhang, D. and X. Zhang, 2009. Study on forecasting the stock market trend based on stochastic analysis method. Intl. J. Bus. Manag., 4: 163-170.
Direct Link  |